Title :
A self-adjusting weighted median filter for removing impulse noise in images
Author :
Chen, Chun-Te ; Chen, Liang-Gee
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
An intelligent self-adjusting weighted median filter for removing impulsive noise in images is presented. Three main techniques are developed to implement this self-adjusting weighted median filter: an intelligent classification to divide the image data into the “corrupted” pixels and the “uncorrupted” pixels, an efficient algorithm to find the median output of any weight set, and a realistic training procedure without the noise free image to obtain the proper weights. Our simulations on some test images demonstrate that the proposed filter has less smoothing effect and smaller mean square error (MSE) or mean absolute error (MAE) measurement than the standard median filter. At the same time, the quality of the filter output has been enhanced significantly. Finally, a demonstration chip of this weighted median filter for the 5×5 window size is also presented
Keywords :
VLSI; adaptive filters; adaptive signal processing; image classification; image enhancement; image segmentation; median filters; noise; corrupted pixels; demonstration chip; image data; image enhancement; impulse noise removal; intelligent classification; intelligent weighted median filter; mean absolute error; mean square error; median output; self-adjusting weighted median filter; smoothing effect; training procedure; uncorrupted pixels; weight set; window size; Information filtering; Information filters; Measurement standards; Samarium; Semiconductor device measurement; Smart pixels; Smoothing methods; Statistics; Testing; Very large scale integration;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.559522
